How to Use the Zhumu / 瞩目 MCP in Cursor

Q: How does Cursor handle Zhumu / 瞩目 meeting listing?

The agent calls listmeetings and uses the resulting JSON structure. It can then write code that iterates over that list, for instance, to check which meetings are past due.

Q: Can Zhumu / 瞩目 user data be used in my project?

Absolutely. The getuser tool retrieves specific profile details, and the agent writes code that accepts these parameters, making your functions immediately relevant to Zhumu / 瞩目.

Q: What tools are available for managing recordings in Cursor?

You can use listrecordings to fetch the cloud recording list. The agent writes code that accepts this list, allowing you to build functions around accessing specific media assets.

Q: If I need user data for a new feature, how do I call Zhumu / 瞩目 with Cursor?

You use listusers or getuser. The agent handles the API response and incorporates that real data directly into the code you're writing, so everything works out of the box.

Inject Zhumu / 瞩目 API calls directly into your code using Cursor's Agent mode.

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Connect Zhumu / 瞩目 MCP to Cursor

Create your Vinkius account to connect Zhumu / 瞩目 to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Zhumu / 瞩目 with Cursor

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Managing Meetings with the MCP Server

`create_meeting` lets you programmatically schedule meetings. When running in Cursor, the agent can use this to inject a variable representing a meeting ID directly into your function signature. You don't just get data; the AI generates working code that uses real API responses from Zhumu / 瞩目.

Fetching User Data in Code

Need to check who’s on a team before writing deployment scripts? The `get_user` tool fetches user details. This live data lets the agent write code that accounts for specific roles or statuses. It means your output isn't just mock data; it uses real, up-to-the-minute context from Zhumu / 瞩目.

Listing Scheduled Content

To build a dashboard component, you need lists. Use `list_meetings` to get upcoming schedules or run `list_webinars` for planned events. The agent injects these arrays directly into your project files. This is ideal because the resulting code block uses live data from Zhumu / 瞩目, eliminating stubbing problems.

Setup guide

Set up Zhumu / 瞩目 MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Zhumu / 瞩目 MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Zhumu / 瞩目 transactions." If the MCP tools are loaded correctly, Cursor will call the Zhumu / 瞩目 tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "zhumu-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zhumu / 瞩目. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Zhumu / 瞩目 MCP in Cursor

The agent calls `list_meetings` and uses the resulting JSON structure. It can then write code that iterates over that list, for instance, to check which meetings are past due.

Absolutely. The `get_user` tool retrieves specific profile details, and the agent writes code that accepts these parameters, making your functions immediately relevant to Zhumu / 瞩目.

It accesses user details, meeting schedules, and account reports. Think operational data related to your organization's communications within Zhumu / 瞩目.

You can use `list_recordings` to fetch the cloud recording list. The agent writes code that accepts this list, allowing you to build functions around accessing specific media assets.

You use `list_users` or `get_user`. The agent handles the API response and incorporates that real data directly into the code you're writing, so everything works out of the box.

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